Financial Early-Warning Analysis of Big Data Industry Enterprises Based on Factor Analysis and Logistic Model

DOI

10.2991/dramclr-19.2019.36How to use a DOI?

Keywords

financial early-warning model, financial risk, Logistic regression analysis

Abstract

On the basis of systematic research on financial early-warning research at home and abroad, this paper selects Chinese big data listed companies as research samples, constructs financial early-warning model of electronic information listed companies with Logistic regression method comprehensively, and analyzes its discriminating effect. The results show that it is an effective method to construct a financial early-warning model by using logistics regression method to help listed companies prevent financial risks.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - XiaoFei Luana
AU  - HongMei Zhang
PY  - 2019/11
DA  - 2019/11
TI  - Financial Early-Warning Analysis of Big Data Industry Enterprises Based on Factor Analysis and Logistic Model
BT  - Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)
PB  - Atlantis Press
SP  - 59
EP  - 63
SN  - 1951-6851
UR  - https://doi.org/10.2991/dramclr-19.2019.36
DO  - 10.2991/dramclr-19.2019.36
ID  - Luana2019/11
ER  -